Interview Guides
Everything we know about interviewing at Rakuten: the process stage by stage, what each round tests, compensation by level, and reports from candidates who interviewed.
What the process looks like, and what Rakuten is really testing for.
Rakuten interviews are structured around an initial HR or recruiter screen, followed by a set of technical interviews and assessments, plus behavioral and fit-focused conversations. Across roles, the process repeatedly uses gatekeeping through coding and design-style questions, then checks how you reason and how you collaborate.
What they test is strongly anchored in system design and distributed systems, plus core data and programming: SQL is the most prominent topic, system design is the top topic, and distributed systems and data analysis are also highly represented. Machine learning concepts and problem solving show up frequently as well, and the loop mixes these with behavioral interviewing and teamwork or collaboration.
From candidate reports, you should expect a multi-step loop that can include an online assessment, one or more technical interviews, and later-stage behavioral-heavy rounds. The difficulty distribution reported is mostly medium, with hard and very hard rounds present, and every sampled report indicates no offer was received, even when candidates felt the experience was fair or positive.
Even when the loop feels like it has multiple stages, multiple reports show that online and video coding style gates can determine whether you progress, so you need both strong problem-solving execution and the ability to clearly explain your approach when asked to reason through what you wrote.
4 stages, based on 510 candidate reports.
You meet HR or a recruiter for a background, motivation, and role-fit discussion. Several reports describe this as communication and fit-focused, and it may also explain practical details like role context or process structure.
You may complete an online coding assessment or similar technical gate, and progression can depend on your execution. Candidate reports describe formats like coding tests and cases where the next round is unlocked only after passing this stage.
You go through one or more technical interviews, which may include coding, core fundamentals, and system design style questions. Based on the topic data and reported system design prominence, expect substantial focus on system design and distributed systems, plus data analysis and SQL, with machine learning concepts and problem solving appearing frequently.
You discuss past experiences, teamwork, and cultural fit, sometimes in multiple behavioral or team member conversations. Several candidate reports describe behavioral-heavy late stages where fit-style questions influenced outcomes.
How often each skill shows up across reported interview loops.
Each guide has the questions Rakuten interviewers actually ask, the loop structure, and total compensation by level.
Estimated total compensation: base salary plus stock and annual cash bonus.
Patterns from candidates who got offers, and the mistakes that most often sink a loop.
Read what candidates said about interviewing at Rakuten: the loop, difficulty, and outcomes, straight from recent reports for each role.
Answered from real candidate and workplace data, marked up for rich results.
Verbatim snippets pulled from employee and candidate reviews.
Rakuten offers a positive work culture that supports a healthy work-life balance.
Salaries tend to be lower compared to other product-based multinational companies.
The SLDC process is too slow, with fixes for small bugs taking one to three months to reach production.
Rakuten emphasizes advanced technology with a strong focus on AI, fostering an innovative work environment.
The lack of ongoing learning opportunities after the initial onboarding period can be a drawback.
Rakuten offers a vibrant work environment with interesting projects, but compensation may not meet expectations.
Companies that hire for the same data roles, with the same depth of prep.
